What is TensorFlow?
TensorFlow is a free software library specializing in machine learning from Google. Originally released as part of the Apache 2.0 open source license, TensorFlow was originally developed by engineers and researchers on the Google Brain Team, primarily for internal use.
TensorFlow is considered the successor to the closed source application DistBelief and is currently used by Google for research and production purposes. TensorFlow is considered to be the first serious implementation of a deep learning framework. TensorFlow is also known as Google TensorFlow.
TensorFlow derives its name from the multidimensional arrays known as tensors, used by neural networks for various operations. According to Google, compared to DistBelief, TensorFlow is faster, smarter and more flexible and can be easily adapted to new areas and products.
It was designed primarily for deep neural network research and to facilitate machine learning, although TensorFlow has been used in many other areas as well.
TensorFlow works by sorting layers of data (also known as nodes) as part of learning. In the first shift, the system determines the basic characteristics of the object. When deeper movements occur, it looks for more refined information about the object.
The sorting of images is quicker, providing users with more valuable information. TensorFlow is available on various operating systems such as Linux, Windows, MacOS and also on mobile operating systems such as iOS and Android.
One of the great things about TensorFlow is that it can run on multiple CPUs and GPUs. The calculations in TensorFlow are reported as stateful data flow graphs. Currently, TensorFlow is used in more than 6,000 free online repositories.